Files

From the Files tab, you can add or view the following types of files by clicking on the subtabs:

Papers

External Analyses

Files

Note: To add or modify files for a dataset, your account needs to be given
permission by the project principal investigator (and data provider, if one exists). If you
don't have such access already, find the name of the project on the
private datasets page and click
Request Access. Be sure to select the "edit" access type ("edit access (view
access plus the ability to edit dataset metadata and add files)"). The status of your request
will be shown on the Access Requests page.

What's appropriate here?

Below are some examples of files that may be useful to others and which subtab they should go on,
but feel free to upload whatever might be useful for your research group or others performing
secondary analyses.

A paper that references data in this dataset (Papers)

A file that provides a mapping from the DataShop anonymous user ID to the original user ID
for each student, useful if you are an instructor or are trying to compare student performance
on pencil-and-paper pre/posttests completed in a school (Files)

Audio/visual artifacts gathered during the course or study (Files)

Statistical analyses (eg, from R, SPSS) (External Analyses)

Other analysis artifacts (Files)

Scanned pre and posttests (Files)

To add a file:

Select the Papers, External Analyses, or Files subtab.

Click Upload

Browse for and select the file or paper on your computer.

Fill in the appropriate metadata.

Click Upload

Note: For external analyses, if you upload your file in text format, other users can view
the contents of that file in DataShop without needing to download it. The analysis title will appear as a link.

To view a file:

Click the link under the File Name column of the file you'd like to view. Depending on the file
type and your browser settings, your browser will prompt you to open the file for viewing or save
it to your computer.

For external analyses, if the file is a text file, you can click the title of the analysis to view its
contents within DataShop.

To modify a file:

Click the edit button () on the row of
the file you'd like to edit. The text fields will become editable.

Modify the text in any of the fields, then click Save.

To delete a file:

Click the delete icon () on
the row of the file you'd like to delete. Answer "yes" in the prompt that appears to delete your file.

To set a paper as the preferred citation:

Click the edit button () on the row of
the paper or file you'd like to edit.

Click the checkbox under "Preferred Citation".

Click Save. Note that a paper must have a citation if you want
to save it as the preferred citation.

Sample Selector

Sample Selector is a tool for creating and editing
samples, or groups of data you compare across—they're
not "samples" in the statistical sense, but more like filters.

By default, a single sample exists: "All Data". With the Sample
Selector, you can create new samples to organize your data.

You can use samples to:

Compare across conditions

Narrow the scope of data analysis to a specific time range,
set of students, problem category, or unit of a curriculum (for example)

A sample is composed of one or more filters, specific
conditions that narrow down your sample.

Creating a sample

The general process for creating a sample is to:

Add a filter from the categories at the left to the composition
area at the right

Modify the filter to select the subset of data you're interested
in, saving it when done

View the sample preview table to see the effect of adding your filter,
making sure you don't have an empty set (ie, a filter or combination
of filters that exclude all transactions).

Name and describe the sample

Decide whether to share the sample with others who can view the
dataset

Save the sample

The effect of multiple filters

DataShop interprets each filter after the first as an additional
restriction on the data that is included in the sample. This is also known
as a logical "AND". You can see the results of multiple filters in the
sample preview as soon as all filters are "saved".